Zoom, cartouches and drop shadow

A zoom window magnifies a dense area (the Paris region), the overseas departments are drawn as cartouches and box_shadow lifts the main map off the European background. All layers redraw automatically in the zoom window and the cartouches.

Hover a department to read its value.

from pathlib import Path

import pandas as pd

from mappyng import Map, BasemapLayer, ChoroplethLayer, VectorLayer
from mappyng.data import load_france_departments, load_france_regions, load_europe

europe = load_europe().to_crs(2154)
regions = load_france_regions().to_crs(2154)
deps = load_france_departments().to_crs(2154)
df = pd.read_csv(Path("data") / "cardio_mortalite_dep.csv", dtype={"code_dep": str})
deps = deps.merge(df, left_on="COD_GEO", right_on="code_dep", how="left")

bbox_metro = [90000, 6040000, 1280000, 7150000]
cartouches = {
    0: {"bbox": [-6890454, 1780151, -6799589, 1874186], "crs": 3857,
        "cartouche_title": "Guadeloupe", "cartouche_title_size": 7,
        "border_radius": 6, "box_shadow": True},
    1: {"bbox": [-6826862, 1609607, -6759494, 1685367], "crs": 3857,
        "cartouche_title": "Martinique", "cartouche_title_size": 7,
        "border_radius": 6, "box_shadow": True},
    2: {"bbox": [-6136680, 235261, -5707791, 671780], "crs": 3857,
        "cartouche_title": "French Guiana", "cartouche_title_size": 7,
        "border_radius": 6, "box_shadow": True},
    3: {"bbox": [6136383, -2448160, 6226316, -2366992], "crs": 3857,
        "cartouche_title": "Reunion", "cartouche_title_size": 7,
        "border_radius": 6, "box_shadow": True},
    4: {"bbox": [5006226, -1459183, 5050208, -1416184], "crs": 3857,
        "cartouche_title": "Mayotte", "cartouche_title_size": 7,
        "border_radius": 6, "box_shadow": True},
}

m = Map(europe, bbox=bbox_metro, width=900, height=1000, padding=25,
        facecolor="#dce6f0", border_radius=10,
        box_shadow={"dx": 3, "dy": 3, "blur": 6, "opacity": 0.2},
        cartouche_params=cartouches, cartouche_spacing=15)
m.add(BasemapLayer())
m.add(VectorLayer(regions, stroke="#4d4d4d", stroke_width=0.1, on_cartouches=True))
m.add_shadow(europe, {"query": "code_pays_iso3=='FRA'", "on_cartouches": True})

m.add_zoom({
    # Paris and the inner ring (75, 92, 93, 94) in Lambert-93. A tight
    # bbox over a large window magnifies this dense area about 11 times
    # relative to the main map.
    "bbox": [634000, 6841000, 674000, 6882000],
    "x": 705, "y": 160, "width": 128, "height": 140,
    "border_radius": 8,
    "box_shadow": {"dx": 2, "dy": 2, "blur": 4, "opacity": 0.3},
})
m.add(BasemapLayer())

m.add(ChoroplethLayer(deps, column="taux_mortalite", cmap="Reds",
                      method="Quantiles", num_classes=5, stroke_width=0.15,
                      legend={"title": "Deaths / 100,000 inhabitants",
                              "orientation": "horizontal", "decimals": 0,
                              "nodata_label": "No data"},
                      on_zoom=True, on_cartouches=True))
m.add(VectorLayer(regions, stroke="#333333", stroke_width=0.4, position="top",
                  on_zoom=True, on_cartouches=True))

m.title("Mortality from heart failure",
        subtitle="Zoom on the Paris region, overseas in cartouches")
m.scale_bar(length=100000, label="100 km", position={"x": 0.46, "y": 0.9},
            opacity=0.8)
m.source("Source: Sante publique France (ODISSE)")

# Hover tooltips. The gallery embeds an interactive SVG from this dict; the
# same call also yields a standalone HTML file.
TOOLTIP = {"columns": ["LIB_GEO", "taux_mortalite"],
           "aliases": {"LIB_GEO": "Department", "taux_mortalite": "Rate"}}
interactive = m.to_interactive(**TOOLTIP)
# interactive.save("layout.html")